# How to use factor_line method in tox

Best Python code snippet using tox_python

commons.py

Source:commons.py

`1import numpy as np2from fractions import Fraction3from decimal import Decimal4from pdb import set_trace 5def add_identity_matrix(matrix, position, size,value):6 adicional_row = np.zeros(size)7 adicional_row = adicional_row+value8 identity = np.identity(size)9 sub_matrix = np.insert(identity, 0, adicional_row, axis=0)10 arrays_list = []11 for line_index in range(matrix.shape[0]):12 extended_row = np.insert(matrix[line_index], position, sub_matrix[line_index])13 arrays_list.append(extended_row)14 return np.array(arrays_list)15def parse_to_fpi(matrix):16 position = (matrix.shape[1])-117 size = matrix.shape[0]-118 return add_identity_matrix(matrix,position,size,0)19def put_tableux_form(matrix):20 matrix_A_lines = (matrix.shape[0]-1)21 matrix = add_identity_matrix(matrix,0,matrix_A_lines,0) # adds array of operations 22 matrix[0,:] = (-1)*matrix[0,:] # Negative vector c23 return matrix24def pivoting(matrix, line_index, column_index):25 26 factor_line = (matrix[line_index,:]).copy()27 for index in range(0,matrix.shape[0]):#line28 factor = Fraction( Fraction( (-matrix[index,column_index])),Fraction( (factor_line[column_index]))).limit_denominator(1000000)29 30 if index == line_index:31 for column in range(0,matrix.shape[1]):32 matrix[index,column] = Fraction(Fraction((matrix[index,column])) , Fraction((factor_line[column_index]))).limit_denominator(1000000)33 34 else:35 for column in range(0,matrix.shape[1]):#column36 matrix[index,column] = Fraction( (factor_line[column]*factor)+ matrix[index,column] ).limit_denominator(1000000)37 f = open('primeiro.txt', 'r')38 conteudo = f.readlines()39 40 for index in range(0,matrix.shape[0]):41 conteudo.append(str(matrix[index,:].tolist())+"\n")42 conteudo.append("\n\n") 43 f = open('primeiro.txt', 'w')44 f.writelines(conteudo)45 f.close()46def canonical_form(matrix,base_columns):47 if(not verify_canonical_form(matrix,base_columns)):48 put_canonical_form(matrix,base_columns)49def verify_canonical_form(matrix,base_columns):50 begin_A_columns = matrix.shape[0]-151 for index in range(begin_A_columns,matrix.shape[1]):52 count_ones = 053 base = None54 if (matrix[0,index] == 0):55 for line in range(1,matrix.shape[0]): 56 if(matrix[line,index] == 1):57 count_ones+=158 base = line59 elif(matrix[line,index] == 0):60 continue61 else:62 base = None63 break64 if(base is not None and count_ones == 1):65 base_columns[base] = index #to the base line of the 'base' line, my pivo is in the column base_columns [base]66 if(all( i >0 for i in base_columns)):67 return True68 else:69 return False70def put_canonical_form(matrix,base_columns):71 for linha in range(1 , base_columns.shape[0]):72 matrix[0,:] = matrix[linha,:]*( (-matrix[0,int(base_columns[linha])])/matrix[linha,int(base_columns[linha])])+matrix[0,:] ...`

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